The Clear Cloud Blog

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Cloud Solution Quality Monitoring and Evaluation with QoE Tool

Thursday, Sep 13, 2018

ARTICLE: In the frame of H2020 CloudPerfect research project, ICCS team delivers tools in order to help Cloud Adopters select and evaluate their cloud solutions. One of the tools produced in the context of CloudPerfect project is the Quality of Experience tool(QoE). This tool contains functionalities to assist the Cloud Adopters in the evaluation of the available cloud solutions for public and also private IaaS providers and also after the cloud adaptations to evaluate the solution used for their services.


Benchmarking the Cloud in a simple and effective way

Tuesday, Jul 3, 2018

ARTICLE: Benchmarking is a well-known and extensively used technique for assessing and comparing performance of systems. Applying benchmarking to Cloud services creates new opportunities to make a more efficient usage of the Cloud and save costs. In fact, performance of Cloud resources heavily affects the performance of the applications running in the Cloud and the costs to sustain to guarantee the desired application Quality of Service.


Cloud-Link: IoT and Cloud

Thursday, May 17, 2018

ARTICLE: The latest Cloud-Link topic discusses the interdependency of IoT and cloud computing. The advancement of IoT can not be imagined without the assistance of cloud infrastructure. However, the massive amount of data produced and exchanged by the IoT devices raises concerns to the storage and computing capacity of cloud infrastructures. Solutions can be moving greater part of data processing to the edge of the network and dividing the data into smaller quantity.


Performance vs Price evaluation of Cloud offers from the client perspective

Tuesday, Dec 12, 2017

ARTICLE: In the frame of H2020 CloudPerfect research project, ICCS (Institute of Communication and Computer Systems) team is working on tools and functionalities that will make the lives of Cloud Adopters easier.


Can fog computing be the next solution to cloud resource allocation and management for mobility-aware applications?

Monday, Aug 21, 2017

ARTICLE: With the advancement of IoT, the number of smart and connected devices is increasing. These geographically distributed devices produce and consume a huge amount of heterogeneous and dynamic data known as ‘Big Data’ at the network edge that is close to the end users.


The true location cloud computing

Monday, Mar 13, 2017

BLOGPOST: The cloud concept is meant to be ethereal, floating, that we don’t need to worry about it. It has worked! However, cloud computing is very real, which means it has a real physical presence and cost. The article discusses these details.


2 Compelling Reasons Why Innovative Organisations are including Big Data Capabilities in their 5-Year Strategic Plans

Tuesday, Feb 21, 2017

BLOGPOST: This is a blog post by Hoani Barker - which covers the significance Big Data is playing in the long term strategic plans for most innovative organizations


Assessing effectiveness of Ansible

Wednesday, Dec 14, 2016

BLOGPOST: Ansible is relatively new configuration management tool which gained popularity after its acquisition by Redhat. This blog post presents a POV on this tool, which is outcome of an evaluation of different features desirable in an infra configuration management tool that impact their effectiveness to automate the management of infrastructure.


Top five trends for cloud computing in 2017

Sunday, Dec 4, 2016

BLOGPOST: The article focuses on five key developments that will shape up the cloud computing market in 2017. Cloud adoption will accelerate faster as enterprises are scrambling to adopt a scalable and cost-effective infrastructure to store and process a large amount of data. Big data and IoT would be a significant part of this growth. The five trends will impact a large number of organizations and will pave the way to cloud-based data-driven culture globally.


Sentiment analysis of social media data using Big Data Processing Techniques

Thursday, Nov 24, 2016

BLOGPOST: Nowadays, online social media have become the important platform across the globe to share information. People prefer online social media as it is easy to share their opinions on a daily basis hence sentiment analysis is of utmost importance wherein people rely on the opinions shared online. With this extensive growth in the usage of online social media, huge amount of social data is generated. How to process this large set of data efficiently, effectively and in a manner suitable for the user is an important research topic. This blog post introduces sentiment analysis and Hadoop Ecosystem. Then focuses on how Hadoop Eco-system proves to be an efficient tool in sentiment analysis.


Moving To The Cloud? Ask The Tough Questions

Thursday, Nov 3, 2016

BLOGPOST: Blog post by Jordan Jacobs where he talks of the key CIO questions to ask when moving to the cloud and presents the SingleHop CIO infographic which covers the same.


Using Cloud and IOT to Grow the Perfect Garden

Wednesday, Nov 2, 2016

BLOGPOST: Description of the Taiga Tower technology which uses cloud and IoT.


Windows Server Containers are here !!

Thursday, Oct 13, 2016

BLOGPOST: This blog post talks about the much awaited Windows Server Containers that have are now available with the release of Windows Server 2016 and takes a brief look at some of the key aspects related to Windows Containers


Data Center Total Cost of Ownership: Buyer Beware! Memory Errors Add Up

Sunday, Sep 11, 2016

BLOGPOST: This blog post talks about cost of data center ownership and highlights the importance of focusing on memory related errors and its associated considerations.


Architecting Application Deployment with Containers

Friday, Sep 2, 2016

BLOGPOST: This blog describes one exercise to shift an application from an On-Premise implementation to a container based solution along with monitoring and management tools that can work on both AWS and Azure frameworks without major changes


Pitfalls of a “Big Data” project and a simple way to overcome it.

Tuesday, Aug 30, 2016

BLOGPOST: The data is ‘Big’, the market is booming, ROI is excellent and the “things” landscape is heating up. There are a lot of platforms and services available which enables quick turnaround for deploying Big Data infrastructure or platforms. Companies want to invest more to figure out that whether the data they have stored over years in databases/generate daily can be monetized using data mining / analytics. Currently every company small or big wants to do “something” with ‘Big Data’, often projects are in a jeopardy as • the problem statements is not comprehended well enough • hypothesis for the ‘value’ generated is not evaluated enough • data by itself is not ‘Big’ enough • there are other unknown conditions In this post we will discuss the end-to-end problems that are comprehended in a data science/analytics projects both architecturally and as-is, we would also attempt to engineer a process/workflow which would help to determine the viability/need of a Big Data system given the problem statement.


Find Out More About Hybrid Cloud Strategy

Sunday, Aug 14, 2016

BLOGPOST: This blog post introduces hybrid cloud computing and provides insights on building your Hybrid Cloud Strategy.


Cloud Native Orchestration with Docker v1.12 Swarm Mode

Thursday, Jul 28, 2016

BLOGPOST: Docker recently came out with a release candidate version 1.12, that has really got most of us excited in terms of ease with which a cluster can now be setup with the new “Swarm Mode”, apart from some of the other features. This article explores some of the new features and puts some of these to a test.


On Demand Virtualization: Automated Provisioning of Multiple VMs on Azure Cloud

Monday, Jul 18, 2016

BLOGPOST: On-demand one-click environment provisioning is gaining lot of traction these days. So what is on-demand virtualization, why is it relevant to DevOps and how it can be enabled on Azure; these are some of things the that we discuss in this article.


Cloud Vendor lock-in avoidance with OneOps

Tuesday, Jul 5, 2016

BLOGPOST: This article introduces a vendor neutral solution to application lifecycle management and orchestration across multiple cloud platforms.

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